Omni Inclusive
Data Engineer
Omni Inclusive, San Antonio, Texas, United States, 78208
Experience : 10+Mandatory skills:
Snowflake, DBT , SQL, Python, Datastage or Informatica, Unix
Detailed Job Description:
Knowledge of SQL language and cloud-based technologiesData warehousing concepts, data modeling, metadata managementData lakes, multi-dimensional models, data dictionariesMigration to AWS or Azure Snowflake platformPerformance tuning and setting up resource monitors.Snowflake modeling - roles, databases, schemasSQL performance measuring, query tuning, and database tuningETL tools with cloud-driven skills
Roles and Responsibilities:
Create, test, and implement enterprise-level apps with Snowflake.Design and implement features for identity and access management.Create authorization frameworks for better access control.Implement Client query optimization, major security competencies with encryption.Solve performance issues and scalability issues in the system.Transaction management with distributed data processing algorithms.Possess ownership right from start to finish.Build, monitor, and optimize ETL and ELT processes with data models.Migrate solutions from on-premises setup to cloud-based platforms.
Snowflake, DBT , SQL, Python, Datastage or Informatica, Unix
Detailed Job Description:
Knowledge of SQL language and cloud-based technologiesData warehousing concepts, data modeling, metadata managementData lakes, multi-dimensional models, data dictionariesMigration to AWS or Azure Snowflake platformPerformance tuning and setting up resource monitors.Snowflake modeling - roles, databases, schemasSQL performance measuring, query tuning, and database tuningETL tools with cloud-driven skills
Roles and Responsibilities:
Create, test, and implement enterprise-level apps with Snowflake.Design and implement features for identity and access management.Create authorization frameworks for better access control.Implement Client query optimization, major security competencies with encryption.Solve performance issues and scalability issues in the system.Transaction management with distributed data processing algorithms.Possess ownership right from start to finish.Build, monitor, and optimize ETL and ELT processes with data models.Migrate solutions from on-premises setup to cloud-based platforms.